FoReco
The FoReco (Forecast Reconciliation) package is designed for point forecast reconciliation, a post-forecasting process aimed to improve the quality of the base forecasts for a system of linearly constrained (e.g. hierarchical/grouped) time series.
It offers classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures by exploiting cross-sectional, temporal, and cross-temporal relationships linking the time series.
The main functions are:
htsrec(): cross-sectional (contemporaneous) forecast reconciliation.thfrec(): forecast reconciliation for a single time series through temporal hierarchies.tcsrec(): heuristic first-temporal-then-cross-sectional cross-temporal forecast reconciliation.cstrec(): heuristic first-cross-sectional-then-temporal cross-temporal forecast reconciliation.iterec(): heuristic iterative cross-temporal forecast reconciliation.octrec(): optimal combination cross-temporal forecast reconciliation.
Installation
You can install the stable version on R CRAN
install.packages('FoReco', dependencies = TRUE)You can also install the development version from Github
# install.packages("devtools")
devtools::install_github("daniGiro/FoReco", build_vignettes = TRUE)Links
- Source code: https://github.com/daniGiro/FoReco
- Site documentation: https://danigiro.github.io/FoReco/
Getting help
If you encounter a clear bug, please file a minimal reproducible example on GitHub.